code: def setUp(self):
      super(PerformancePipelineTest, self).setUp()
      self.config = performance_model.PerformanceRnnConfig(
          None,
          note_seq.OneHotEventSequenceEncoderDecoder(
              note_seq.PerformanceOneHotEncoding()
          ),
          contrib_training.HParams(),
      )
  
file_path: magenta/magenta/models/performance_rnn/performance_rnn_create_dataset_test.py
imports: from magenta.contrib import training
  from magenta.models.performance_rnn import performance_model
  from magenta.pipelines import performance_pipeline
  import note_seq
  from note_seq import testing_lib
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling the PerformancePipelineTest obj's underlying member method code with example usage: obj.setUp() without return types